University Of Tasmania
11.pdf (267.2 kB)

Robust state estimation in distribution networks

Download (267.2 kB)
conference contribution
posted on 2023-05-23, 11:50 authored by Bernd BrinkmannBernd Brinkmann, Michael NegnevitskyMichael Negnevitsky
In this paper a new approach to state estimation in distribution networks is proposed. This approach is more robust against large uncertainties of the state estimation inputs than the conventional method. Traditionally, the goal of state estimation was to estimate the exact value of network parameters, such as voltages and currents. This works well in transmission networks where many real time measurements are available. In distribution networks, however, only few real-time measurements are available. This means that the estimated state can be significantly different from the actual network state. Therefore, the focus of the proposed robust state estimation is shifted from estimating the exact values of the network parameters to the confidence that these parameters are within their respective constraints. This approach is able to provide useful results for distribution network operation, even if large uncertainties are present in the estimated network state.


Publication title

Proceedings of the 2016 Australasian Universities Power Engineering Conference (AUPEC 2016)






School of Engineering


Institute of Electrical and Electronics Engineers

Place of publication

United States of America

Event title

2016 Australasian Universities Power Engineering Conference (AUPEC 2016)

Event Venue

Brisbane, Australia

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2016 IEEE

Repository Status

  • Open

Socio-economic Objectives

Energy services and utilities